Dental health status of professional football players during the Qatar 2023 AFC Asian Cup: a preliminary study
Bibliographic record
Abstract
Oral health is increasingly recognized as an important factor influencing athletic performance and overall quality of life; however, limited data are available on elite football players in Asia. This cross-sectional clinical study evaluated the oral health status of professional players participating in the Asian Football Cup held in Qatar between January and February 2023. Three calibrated dentists conducted standardized clinical examinations on 70 randomly selected players (mean age: 26.8 years) using the DMFT, BPE, and BEWE indices to assess dental caries, periodontal health, erosive tooth wear, wisdom teeth status, trauma, and temporomandibular joint (TMJ) disorders. Dental caries was present in 85.7% of players (mean DED = 5.6), and 77.1% had restorations. Gingivitis affected 82.9%, while 12.9% showed signs of periodontitis. Tooth erosion was detected in 88.6%, with 10% classified as high risk. Partially erupted wisdom teeth were identified in 38.6%, pericoronitis in 7.1%, sports-related trauma in 30%, and TMJ disorders in 21.4%. These findings highlight a substantial oral disease burden and support integrating preventive dental care into routine athlete health programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".